Preventive solutions related to reducing and managing disaster, environmental monitoring, and solutions to reduce CO2 associated with renewable energies
We use emergent geotechnologies and AI approaches to monitor risk disasters, build multihazard platforms, establish scenarios associated with climate and water crises and integrate geospatial analysis with renewable energies
We’ll help you predict and reduce natural disasters and environmental degradation like inundations, landslides, and erosional processes to prevent human and financial loss.
Risk maps
Multi-hazard platform
3D modelling
Recent case studies
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Our solution helps to better detail the areas with the highest risk of flooding by using images with higher spatial resolution, a data-driven solution, and spatial statistics/geostatistics.
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Using an operationalized monitoring platform allowed the establishment of dynamic analyses on the occurrence of extreme natural events.
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The random forest technique presented a good performance for the hazard map, showing that machine learning approaches improve the detection of high-risk landslide areas compared with traditional methods.
Our team
We are an interdisciplinary team with solid experience in geospatial analysis, artificial intelligence/machine learning, data sciences, remote sensing, UAVs, and Lidar. The team has solid knowledge in geosciences, hydrology, geotechnics, cartography, and training in disaster with a vision of a multi-hazard system. This unique “double helix” of capabilities equips us to help our clients to find solutions to disaster management and reduction.